Enterprises have long governed structured data but face mounting challenges with unstructured data as AI adoption grows. Experts outline key governance dimensions: classifying documents using AI and vision language models, managing versions and duplicates with semantic similarity clustering, enforcing retention policies through AI-based tagging, and securing data throughout its lifecycle including at inference time in LLMs and AI agents. The piece emphasizes that governance must span the full data lineage from ingestion through consumption, with integrated security and classification workflows rather than siloed handoffs between teams.
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